Triple

T9167987
Position Surface form Disambiguated ID Type / Status
Subject Kanta-Häme E220011 entity
Predicate hasHistoricProvince P5057 FINISHED
Object Tavastia E906532 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tavastia | Statement: [Kanta-Häme, hasHistoricProvince, Tavastia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tavastia
Context triple: [Kanta-Häme, hasHistoricProvince, Tavastia]
  • A. Tavastia Proper chosen
    Tavastia Proper is a historical province and modern region in southern Finland known for its lakes, forests, and the city of Hämeenlinna with its medieval castle.
  • B. Ostrobothnia
    Ostrobothnia is a coastal region in western Finland known for its strong Swedish-speaking population, flat landscapes, and historic maritime and agricultural traditions.
  • C. North Karelia
    North Karelia is a region in eastern Finland known for its forests, lakes, and strong Karelian cultural heritage.
  • D. North Karelian
    North Karelian is a major dialect of the Karelian language spoken primarily in the northern regions of Karelia, characterized by distinct phonological and lexical features.
  • E. Satakunta
    Satakunta is a historical province and region on the western coast of Finland, known for its industrial heritage, coastal landscapes, and the city of Pori.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca83e467108190abcae6a33b3d4dad completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccaadfb50881909b9127f92e4b3e21 completed April 1, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69e4963545f481909ecc360480b1fc37 completed April 19, 2026, 8:45 a.m.
Created at: March 30, 2026, 7:22 p.m.